Results 31 to 40 of about 303,649 (269)

A multi-viewpoint feature-based re-identification system driven by skeleton keypoints [PDF]

open access: yes, 2017
Thanks to the increasing popularity of 3D sensors, robotic vision has experienced huge improvements in a wide range of applications and systems in the last years.
Ghidoni, Stefano, Munaro, Matteo
core   +1 more source

Surveillance video mining [PDF]

open access: yesIET International Conference on Visual Information Engineering (VIE 2006), 2006
This paper approaches the problem of surveillance event characterization at two levels. First, the information characterizable at the single camera image-plane level, where we use a set of occlusion primitives to define a set of time-varying predicates on heterogeneous objects moving in unknown environments.
null Prithwijit Guha   +4 more
openaire   +1 more source

Multi agent parking lots modelling for anomalies detection while parking

open access: yesIET Computer Vision, 2016
Recently crowded cities are having an increasing need for an advanced parking management system to help drivers to locate the vacant and available parking places in real time. In this study, the authors propose a novel multi agent parking lots management
Imen Masmoudi   +3 more
doaj   +1 more source

ConvGRU-CNN: Spatiotemporal Deep Learning for Real-World Anomaly Detection in Video Surveillance System.

open access: yesInternational Journal of Interactive Multimedia and Artificial Intelligence, 2023
Video surveillance for real-world anomaly detection and prevention using deep learning is an important and difficult research area. It is imperative to detect and prevent anomalies to develop a nonviolent society.
Maryam Qasim Gandapur, Elena Verdú
doaj   +1 more source

Lost in Time: Temporal Analytics for Long-Term Video Surveillance

open access: yes, 2017
Video surveillance is a well researched area of study with substantial work done in the aspects of object detection, tracking and behavior analysis. With the abundance of video data captured over a long period of time, we can understand patterns in human
Khor, Huai-Qian, See, John
core   +1 more source

Video surveillance using distance maps [PDF]

open access: yesSPIE Proceedings, 2006
Human vigilance is limited; hence, automatic motion and distance detection is one of the central issues in video surveillance. Hereby, many aspects are of importance, this paper specially addresses: efficiency, achieving real-time performance, accuracy, and robustness against various noise factors.
Schouten, Th.E.   +2 more
openaire   +2 more sources

Wireless Video Surveillance: A Survey

open access: yesIEEE Access, 2013
A wireless video surveillance system consists of three major components: 1) the video capture and preprocessing; 2) the video compression and transmission in wireless sensor networks; and 3) the video analysis at the receiving end.
Yun Ye   +4 more
doaj   +1 more source

A Comparison of CNN-based Face and Head Detectors for Real-Time Video Surveillance Applications

open access: yes, 2017
Detecting faces and heads appearing in video feeds are challenging tasks in real-world video surveillance applications due to variations in appearance, occlusions and complex backgrounds. Recently, several CNN architectures have been proposed to increase
Blais-Morin, Louis-Antoine   +3 more
core   +1 more source

Risk Prediction Models for Recurrence After Curative Treatment of Early‐Stage or Locally Advanced Lung Cancer: A Systematic Review

open access: yesAging and Cancer, EarlyView.
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel   +4 more
wiley   +1 more source

Learning to Detect Violent Videos using Convolutional Long Short-Term Memory

open access: yes, 2017
Developing a technique for the automatic analysis of surveillance videos in order to identify the presence of violence is of broad interest. In this work, we propose a deep neural network for the purpose of recognizing violent videos.
Lanz, Oswald, Sudhakaran, Swathikiran
core   +1 more source

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